Direct campaign-ready fashion imagery with the Scrubs AI On-model Photography Generator—every setting is a click, not a prompt.

Never—you direct every output with sliders, presets, and clicks on the garment, not typed prompts. That UI control is consistent across GUI and REST API payloads, which is why ecommerce teams onboard buyers without rewriting creative briefs as chat threads.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps tokens, timings, refund rules, commercial rights framing, provenance signalling, watermarking cues, REST surface, and SKU-scale batch patterns explicit so operations can rehearse PDP launches without hallucinated garment inventions.

It turns fashion imagery from a reshoot event into a repeatable workflow. You click camera, framing, pose, lighting, background, and a visual style preset, while the garment stays the brief so cut and drape don’t mutate across variants.

With RAWSHOT you also keep output governance tight: C2PA-signed provenance, per-image audit trail, watermarking, and full commercial rights are included on every image. That combination helps teams publish consistent PDP visuals without turning each update into an engineering project.

Because every retake is time, shipping, scheduling, and budget you repeat for each SKU and each season. RAWSHOT keeps the workflow on the product side: you direct framing and lighting in the browser, then generate images that remain garment-faithful rather than prompt-shaped.

Instead of waiting for studio availability, you can iterate within the same controlled settings and export for product pages and marketing. The proof is in the output: labelled AI imagery, signed provenance metadata, and a traceable audit trail per image.

Upload the garment and use the UI controls to select lens, framing, pose, and lighting for the look you need. RAWSHOT’s engine is engineered around the real product, so you represent cut, color, pattern, logo, fabric, and drape faithfully through garment-led generation.

Then choose aspect ratio and resolution (2K or 4K) to match PDP and ad placements. When you generate, outputs include AI labelling plus C2PA-signed provenance so your team can ship with an honest attribution record.

Prompt roulette fails when the product mutates across outputs—logos can be invented, garments can drift, and faces can change between variants. RAWSHOT avoids that mode by removing the prompt box entirely and exposing fashion-specific controls designed for garment fidelity and repeatability.

You also get catalog consistency through saved synthetic model identity and an audit trail per image, which helps teams QA faster. If a generation fails, tokens are refunded, keeping iteration predictable for commerce workloads.

RAWSHOT includes C2PA-signed provenance metadata on outputs, plus visible and cryptographic watermarking and AI labelling. That gives your team a cleaner compliance story than workflows that output images without traceable attribution.

It also helps internal QA: each image carries a signed audit trail record so you can review what was generated and which controls were used. The result is governance you can operationalize for product feeds and campaign assets.

Start with garment fidelity: verify cut, color, pattern, logo, and drape match your real product expectations. Then confirm model consistency for catalog usage by using the saved model identity across SKUs and checking aspect ratios for each channel.

Finally, review governance cues: C2PA-signed provenance, watermarking, AI labelling, and the per-image audit trail. RAWSHOT is built so those checks are repeatable, not improvised during post-production.

Photo generation is priced flat per image at about ~$0.55 per image, with roughly ~30–40 seconds per generation. Tokens never expire, you can cancel in one click on the pricing page, and failed generations refund tokens automatically.

That makes budgeting easier than per-seat or plan-locked tools, especially when you’re producing large variant sets for PDPs and ads. You can also keep controls consistent so you’re not paying for endless rework caused by prompt-driven drift.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines, while also offering a browser GUI for single shoots and quick look development. The same garment-led control approach applies across both paths, keeping results consistent for teams and workflows.

That means you can automate nightly SKU runs without rebuilding creative briefs as chat threads. Your outputs remain governed with C2PA-signed provenance, watermarking, and audit trail records per image.

Designers and ecommerce merch teams direct the shoot through the UI controls—camera, framing, lighting, background, mood, and visual style—then generate images for PDP and campaign assets. Catalog ops and production teams use the REST API for batch work and QA at scale.

Because outputs include labelled AI governance and full commercial rights, the handoff to publishing is clearer than DIY workflows. You get one platform for all roles, with predictable pricing and refunds to keep throughput steady.